Zobrazeno 1 - 10
of 209
pro vyhledávání: '"Peter J. Haas"'
Publikováno v:
Infectious Disease Modelling, Vol 8, Iss 1, Pp 84-100 (2023)
Background: A model that jointly simulates infectious diseases with common modes of transmission can serve as a decision-analytic tool to identify optimal intervention combinations for overall disease prevention. In the United States, sexually transm
Externí odkaz:
https://doaj.org/article/a452e2ad36004bb9b9dd56e3b60835bc
Autor:
Isaac Kalimi, Peter J. Haas
This volume comprises fifteen essays classified in three major sections. Some of these essays raise theoretical and methodological issues while others focus on specific topics. The time span ranges from late biblical period to the present. The volume
Autor:
Wang Cen, Peter J. Haas
Publikováno v:
2022 Winter Simulation Conference (WSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8576a7da909b3dfb2564832dae260875
https://doi.org/10.1109/wsc57314.2022.10015361
https://doi.org/10.1109/wsc57314.2022.10015361
Publikováno v:
Proceedings of the VLDB Endowment. 13:2861-2864
Text document summarization refers to the task of producing a brief representation of a document for easy human consumption. Existing text summarization techniques mostly focus on generic summarization, but users often require personalized summarizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05a9a274143c526231cadf6bb832bbab
https://doi.org/10.14778/3415478.3415494
https://doi.org/10.14778/3415478.3415494
Publikováno v:
Proceedings of the VLDB Endowment. 13:2881-2884
Everyone needs to make decisions under uncertainty and with limited resources, e.g., an investor who is building a stock portfolio subject to an investment budget and a bounded risk tolerance. Doing this with current technology is hard. There is a di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f9147725dc555d9e9d2c9a2c8c99f3d
https://doi.org/10.14778/3415478.3415499
https://doi.org/10.14778/3415478.3415499
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae223c2230a99b58058bab32ec07feb1
https://doi.org/10.2139/ssrn.4269435
https://doi.org/10.2139/ssrn.4269435
Publikováno v:
ACM Transactions on Database Systems. 44:1-45
To maintain the accuracy of supervised learning models in the presence of evolving data streams, we provide temporally biased sampling schemes that weight recent data most heavily, with inclusion probabilities for a given data item decaying over time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae5cc39de57c8e57b6cea84521dc8374
https://doi.org/10.1145/3360903
https://doi.org/10.1145/3360903
Autor:
Georgios Theodoropoulos, Peter J. Haas
Publikováno v:
ACM Transactions on Modeling and Computer Simulation. 30:1-3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c9fe69229887f2ed334fa05e266eab6
https://doi.org/10.1145/3425907
https://doi.org/10.1145/3425907
Publikováno v:
ACM SIGMOD Record. 48:69-76
To maintain the accuracy of supervised learning models in the presence of evolving data streams, we provide temporallybiased sampling schemes that weight recent data most heavily, with inclusion probabilities for a given data item decaying exponentia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45ea4c0497d36160ccdeae3cd02c22e8
https://doi.org/10.1145/3371316.3371333
https://doi.org/10.1145/3371316.3371333
Publikováno v:
Communications of the ACM. 62:83-91
Large-scale Machine Learning (ML) algorithms are often iterative, using repeated read-only data access and I/O-bound matrix-vector multiplications. Hence, it is crucial for performance to fit the data into single-node or distributed main memory to en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79bb7aa298c9b146a273cfd45e6e00be
https://doi.org/10.1145/3318221
https://doi.org/10.1145/3318221